Welcome to the Orbilon Technologies blog, your resource for expert insights on AI development, web and mobile application engineering, automation, DevOps, and SaaS best practices. Our team shares practical guides, industry analysis, and technical deep-dives to help developers, founders, and business leaders make smarter technology decisions.
Whether you are exploring AI agents, evaluating cloud infrastructure options, or looking for development best practices, our articles are written by engineers who build these solutions every day.
LLM Integration: Connecting GPT-4 to Your Business Systems Introduction ChatGPT is amazing with what it can do. However, only a handful realize how to bridge LLM integration with the actual business systems, such as your CRM, ERP, databases, and legacy apps. Basically, that’s the real trick and value. GPT, 4
AI-Powered Code Review: How We Cut Bug Reports by 40% Introduction Code review is an underrated bottleneck that no one talks about. Pull requests accumulate for hours or even days waiting for senior developers to review them, and when they eventually do, subtle bugs slip through because humans are tired,
Voice AI + CRM Integration: The Automation Nobody’s Talking About Introduction At a time when ChatGPT is writing emails and AI is generating images, a quiet revolution in business communication is happening: Voice AI CRM integration that can handle customer calls end-to-end, automatically update your CRM, and resolve 70% of
Why Smart Businesses Are Choosing n8n vs Zapier in 2026? Introduction The automation scene has changed drastically. In 2026, leading companies are moving from Zapier to n8n, not because their favorite Zapier broke down, but because the makeup and functionalities of automation have changed at a very deep level. Zapier’s
10 Days vs. 10 Years: What Claude Cowork Teaches Us About Building the Right Tool Introduction Generally, the software products require months or years to be developed. The teams invest a lot of time in writing code, fixing bugs, iterating on features, and hoping that their product is really what
How AI Optimized Our .NET API Performance by 70% in Just 48 Hours Introduction Our .NET API was painfully slow. On average, response times were around 2 seconds. During peak traffic, the wait time increased to over 5 seconds. Users were unhappy, our conversion rates dropped, and our infrastructure costs
AI Found 47 Memory Leaks in Our Node.js Backend (And How It Saved Us) Introduction Our Node.js backend was on its last legs. Every few hours, memory usage would skyrocket, the API response times would become snail-paced, and finally, the server would crash. We kept rebooting it, and the cycle
Kubernetes Is Overkill for 90% of Companies: When You Actually Need It Introduction Let’s face an uncomfortable truth right away: Kubernetes is a luxury that startups with 5 or 50 employees simply cannot afford. If your application is used by a few thousand users, Kubernetes is a luxury in that
Cursor AI: 1,000% Growth as Developers Abandon VS Code Introduction Visual Studio Code was, for almost a decade, the most popular code editor. In 2024, it accounted for 74% of the market share and had over 20 million active users. Developers loved it because it was fast, easily customizable, and
The $47 Billion AI Agent Market: Are You Building for It? Introduction One of the fastest-growing sectors in tech is the AI agent market, which is forecasted to skyrocket from $5.1 billion in 2024 to $47 billion by 2030, an increase of 9x within just six years. Nevertheless, the majority
GitHub Copilot Workspace: Generate Entire Features From a Single Prompt Introduction Imagine telling AI in natural language about a feature you want it to create and then witnessing it do everything for you, code, tests, and documentation, all within a few minutes instead of days. This is not a narrative
60% Believe AI Will Transform Their Job in 5 Years—Only 23% Are Preparing Introduction McKinsey 2025 report released a bombshell: 60% of workers think that artificial intelligence will drastically change their work in the next five years. The surprising part is that only 23% of them are actually taking any